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You will get 🤖 AI Smart Assistant (Face + Chatbot)

Yunus B.Status: Offline
Yunus B.
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Yunus, priced and ready to go.
Yunus B.Status: Offline
Yunus B.
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Yunus, priced and ready to go.

Project details

You will get a powerful AI Smart Assistant that combines computer vision and chatbot intelligence into one seamless solution. This project is built with FastAPI, DeepFace, MongoDB, and Groq LLM, enabling real-time face analysis (age, gender, emotion) and personalized chatbot responses based on the user’s identity and emotions.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, TensorFlow
What's included
Service Tiers Starter
$1,000
Standard
$2,000
Advanced
$4,000
Delivery Time 5 days 8 days 10 days
Number of Revisions
122
Number of Model Variations
123
Number of Scenarios
123
Number of Graphs/Charts
012
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$150
Additional Scenario (+ 2 Days)
+$300

Frequently asked questions

Yunus B.Status: Offline

About Yunus

Yunus B.Status: Offline
Full Stack Developer | MERN, MEAN, Laravel, Django, Python, AI/ML
Lahore Cantt, Pakistan - 1:46 pm local time
Full Stack Developer with 2+ years of professional experience, including 1 year focused on frontend development. Proficient in Laravel, MERN/MEAN stacks, and Python frameworks (Django, Flask, FastAPI). Experienced in AI/ML integrations, RESTful APIs, and modern frontend technologies such as React, Tailwind CSS, HTML5, CSS3, and Bootstrap. Skilled in PHP, JavaScript, MySQL, Postman, and Git/Git Bash. Passionate about building scalable, maintainable web applications with optimized user experiences.

Steps for completing your project

After purchasing the project, send requirements so Yunus can start the project.

Delivery time starts when Yunus receives requirements from you.

Yunus works on your project following the steps below.

Revisions may occur after the delivery date.

Project Setup

Create repo, install dependencies, configure FastAPI + DeepFace + LLM.

Review the work, release payment, and leave feedback to Yunus.